Surrogate optimization of indoor radio coverage

During the mobile radio network planning (GSM, UMTS, WLAN), there is a natural need for an optimal base station positioning procedure. Good coverage at an acceptable level of network installation and maintaining costs, low interference and uniform interface load are the main requirements. In this paper we present an approach based on surrogate optimization algorithm for optimization of indoor radio network and compare it to simple Genetic Algorithm.

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